Social Media Data

material ID: socialmediadata

Related Papers

Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractArabic dialects present a special problem for natural language processing because there are few resources, they have no standard orthography, and have not been studied much. However, as more and …...

3680

NTNUSentEval at SemEval-2016 Task 4: Combining General Classifiers for Fast Twitter Sentiment Analysis

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

The paper describes experiments on sentiment classification of microblog messages using an architecture allowing general machine learn- ing classifiers to be combined either sequen- tially to form a multi-step classifier, …...

22571

Real-time Change Point Detection using On-line Topic Models

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractDetecting changes within an unfolding event in real time from news articles or social media enables to react promptly to serious issues in public safety, public health or natural disasters. …...

5307

Comparing MT Approaches for Text Normalization

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractOne of the main characteristics of social media data is the use of non-standard language. Since NLP tools have been trained on traditional text material their performance drops when applied …...

19730

Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractFree text data from social media is now widely used in natural language processing research, and one of the most common machine learning tasks performed on this data is classification. …...

28497

Detecting de minimis Code-Switching in Historical German Books

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractCode-switching has long interested linguists, with computational work in particular focusing on speech and social media data (Sitaram et al., 2019). This paper contrasts these informal instances of code-switching to …...

4193

Do Word Embeddings Capture Spelling Variation?

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractAnalyses of word embeddings have primarily focused on semantic and syntactic properties. However, word embeddings have the potential to encode other properties as well. In this paper, we propose a …...

4278

Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractRecent studies have demonstrated the effectiveness of cross-lingual language model pre-training on different NLP tasks, such as natural language inference and machine translation. In our work, we test this approach …...

32396

(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractStance detection, which aims to determine whether an individual is for or against a target concept, promises to uncover public opinion from large streams of social media data. Yet even …...

32072

Investigating label suggestions for opinion mining in German Covid-19 social media

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThis work investigates the use of interactively updated label suggestions to improve upon the efficiency of gathering annotations on the task of opinion mining in German Covid-19 social media data. …...

8875

Collection Methods and Data Characteristics of the PagkataoKo Dataset

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

We present the PagkataoKo Dataset, a new dataset for Filipino Automatic Personal- ity Recognition (APR) containing demo- graphic, personality trait, and social media data sourced from 3,128 Filipino Instagram and/or …...

28785